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Computing Puiseux series: a fast divide and conquer algorithm

Authors: Poteaux, Adrien; Weimann, Martin;

Computing Puiseux series: a fast divide and conquer algorithm

Abstract

Let F ∈ 𝕂 [ X , Y ] be a polynomial of total degree D defined over a perfect field 𝕂 of characteristic zero or greater than D . Assuming F separable with respect to Y , we provide an algorithm that computes all singular parts of Puiseux series of F above X = 0 in an expected Ø ˜ ( D δ ) operations in 𝕂 , where δ is the valuation of the resultant of F and its partial derivative with respect to Y . To this aim, we use a divide and conquer strategy and replace univariate factorisation by dynamic evaluation. As a first main corollary, we compute the irreducible factors of F in 𝕂 [ [ X ] ] [ Y ] up to an arbitrary precision X N with Ø ˜ ( D ( δ + N ) ) arithmetic operations. As a second main corollary, we compute the genus of the plane curve defined by F with Ø ˜ ( D 3 ) arithmetic operations and, if 𝕂 = ℚ , with Ø ˜ ( ( h + 1 ) D 3 ) bit operations using probabilistic algorithms, where h is the logarithmic height of F .

Country
France
Keywords

[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC], [MATH.MATH-AC]Mathematics [math]/Commutative Algebra [math.AC], [INFO.INFO-SC] Computer Science [cs]/Symbolic Computation [cs.SC], Analysis of algorithms and problem complexity, Singularities of curves, local rings, Singularities in algebraic geometry, 004, 510, [MATH.MATH-AC] Mathematics [math]/Commutative Algebra [math.AC], Mathematics - Algebraic Geometry, Effectivity, complexity and computational aspects of algebraic geometry, Puiseux series, dynamic evaluation, FOS: Mathematics, desingularisation, complexity, Algebraic Geometry (math.AG), 14Q20, 12Y05, 13P05, 68W30

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
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